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Design and Implementation of Students’ Information System for Tertiary Institutions Using Neural Networks: An Open Source Approach

Copyright © 2013. 14 pages.
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DOI: 10.4018/978-1-4666-2646-1.ch013|
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MLA

Afolayan, Obiniyi Ayodele and Ezugwu El-Shamir Absalom. "Design and Implementation of Students’ Information System for Tertiary Institutions Using Neural Networks: An Open Source Approach." International and Interdisciplinary Studies in Green Computing. IGI Global, 2013. 193-206. Web. 21 Nov. 2014. doi:10.4018/978-1-4666-2646-1.ch013

APA

Afolayan, O. A., & Absalom, E. E. (2013). Design and Implementation of Students’ Information System for Tertiary Institutions Using Neural Networks: An Open Source Approach. In K. Ganesh, & S. Anbuudayasankar (Eds.) International and Interdisciplinary Studies in Green Computing (pp. 193-206). Hershey, PA: Information Science Reference. doi:10.4018/978-1-4666-2646-1.ch013

Chicago

Afolayan, Obiniyi Ayodele and Ezugwu El-Shamir Absalom. "Design and Implementation of Students’ Information System for Tertiary Institutions Using Neural Networks: An Open Source Approach." In International and Interdisciplinary Studies in Green Computing, ed. K. Ganesh and S. P. Anbuudayasankar, 193-206 (2013), accessed November 21, 2014. doi:10.4018/978-1-4666-2646-1.ch013

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Abstract

This paper identifies the causes associated with delays in processing and releasing results in tertiary institutions. An enhanced computer program for result computation integrated with a database for storage of processed results simplifies a university grading system and overcomes the short-comings of existing packages. The system takes interdepartmental collaboration and alliances into consideration, over a network that speeds up collection of processed results from designated departments through an improved centralized database system. An empirical evaluation of the system shows that it expedites processing of results and transcripts at various levels and management of and access to student results on-line. The technological approach for the implementation of the proposed system is based on open source solutions. Apache is used as Web server extended with PHP for server side processing. In recognition of the confidentiality of data contained in the system, communication networks are protected with open-ssl library for data encryption and role-based authentication. This system increases efficient service delivery and benefits both administration and students.
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Evaluation Of Course Grading System

The course credit system is a system in which the syllabus of a subject in a degree program is divided into courses arranged in progressive order of difficulty or in levels of academic progress that is 100 to 400 levels for faculty of sciences. The course credit system is flexible enough to accommodate both strong and weak students. It minimizes duplication of courses as it encourages inter-departmental collaboration in curriculum planning, formulation and syllabus review. It is also possible for a student to defer a semester or session for a genuine reason either on medical or financial grounds. This is because a credit earned is never lost.

In the ideal system, all courses are supposed to be mounted every semester with the dual purpose of allowing the exceptional students to graduate before time and the weaker one progress at their own pace. This, however, may be difficult here as a result of the staffing situation.

Credit Units and Credit Load

In the course credit system, courses are assigned weights called credit units depending on how many contact hours are required to complete the course in a semester, for example, a one credit course requires fifteen hours of lecture per semester. A credit load is the total number of credit units registered per semester by the student. In faculty of science, the minimum credit unit per semester is twelve and maximum is twenty four.

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